What is Fully Connected Layer | How does Fully Connected Layer works

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This video explains what exactly is Fully Connected Layer in Convolutional Neural Networks and how this layer works. It is very important layer when it comes to classifying an image into a label for classification problem perspective or getting the numerical predictions for regression based problems. We will be discussing its internal working in a more easier
way. At the end of the video, you will see one tool using which you can write a digit on it in real time to see various convolutional neural network layers of it. In the next video onwards we will be building a few object detection, face recognition, image recognition based projects.

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Please let me know if you liked this series on explanation of various layers associated with the Convolutional Neural Network.

TheAIUniversity

This explanation is by far the best I found on this topic!! keep up the good work!

afeezaali

This has helped me get a better understanding of how the cnn works before the output, thanks a lot!

rajkumarlakkimsetty

Sir, if it has more than 2 output how it can give output as 0 and 1 only for more than 2?

keshavraghuwanshi

These are great! Really helps with comprehension.

GAment_

Sir, please make an video on architecture of graph neural network, it will be very helpful❤❤

keshavraghuwanshi

best explanation ever just one question how do we decide the number of hidden neurons

shivamdubey

Is it a bird? Is it a plane? NO, IT'S AN ERRORPLANE! :)

konstantin

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